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Articraft uses LLMs to generate 10K articulated 3D assets

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Articraft, an agentic system that uses large language models to generate articulated 3D assets at scale. This system translates the task of asset creation into program writing, utilizing a domain-specific SDK for defining parts, geometry, and joints. The generated assets are validated, and the system has been used to create Articraft-10K, a dataset of over 10,000 articulated assets across 245 categories, demonstrating utility in robotics simulation and virtual reality. AI

IMPACT Enables scalable generation of 3D assets, potentially accelerating development in robotics simulation and virtual reality.

RANK_REASON Academic paper introducing a new system and dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Articraft uses LLMs to generate 10K articulated 3D assets

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Academic paper introducing a new system and dataset. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shangzhe Wu ·

    Articraft: An Agentic System for Scalable Articulated 3D Asset Generation

    A bottleneck in learning to understand articulated 3D objects is the lack of large and diverse datasets. In this paper, we propose to leverage large language models (LLMs) to close this gap and generate articulated assets at scale. We reduce the problem of generating an articulat…

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